Multiple change point clustering of count processes with application to California COVID data

Shuchismita Sarkar, Xuwen Zhu

Type: Article

Publication Date: 2022-03-30

Citations: 3

DOI: https://doi.org/10.1016/j.patrec.2022.03.025

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Locations

Pattern Recognition Letters - View

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Works That Cite This (0)

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Works Cited by This (22)

Action	Title	Year	Authors
+	19 Review about estimation of change points	1988	P. R. Krishnaiah Bin Miao
+	On detection of the number of signals in presence of white noise	1986	L.C. Zhao P. R. Krishnaiah Zhidong Bai
+	On the Likelihood Ratio Test for a Shift in Location of Normal Populations	1979	Keith J. Worsley
+	On problems in which a change in a parameter occurs at an unknown point	1957	E. S. Page
+ PDF Chat	A mixture of experts latent position cluster model for social network data	2010	Isobel Claire Gormley Thomas Brendan Murphy
+	Maximum Likelihood from Incomplete Data Via the <i>EM</i> Algorithm	1977	A. P. Dempster N. M. Laird Donald B. Rubin
+ PDF Chat	Estimating Multiple Breaks One at a Time	1997	Jushan Bai
+ PDF Chat	Negative Binomial Process Count and Mixture Modeling	2013	Mingyuan Zhou Lawrence Carin
+	Assessing a mixture model for clustering with the integrated completed likelihood	2000	Christophe Biernacki Gilles Celeux G. Govaert
+ PDF Chat	EM Algorithm for Mixed Poisson and Other Discrete Distributions	2005	Dimitris Karlis